Google Professional Data Engineer

Study for Google Professional Data Engineer certification exam covering data pipelines, big data processing, GCP storage, analysis and machine learning tools.

Syllabus

Designing data processing systems

In this track of the Professional Data Engineer journey, the focus will be on what it takes to become a Google Cloud Data Engineer, navigating the Google Cloud platform, building data structures, and planning data pipelines.

Ingesting and processing the data

In this track of the Professional Data Engineer journey, the focus will be on unstructured and structured data, data storage, and BigQuery data warehouse .

Storing the data

In this track of the Professional Data Engineer journey, the focus will be on using Google datastream, messaging , dataset processing, and exploring machine learning and AI with Google.

Preparing and using data for analysis

In this track of the Professional Data Engineer journey, the focus will be on optimizing, monitoring, and troubleshooting data warehouses, and you will also explore data migrations.